CfnApplicationPropsMixin

class aws_cdk.mixins_preview.aws_kinesisanalyticsv2.mixins.CfnApplicationPropsMixin(props, *, strategy=None)

Bases: Mixin

Creates an Amazon Kinesis Data Analytics application.

For information about creating a Kinesis Data Analytics application, see Creating an Application .

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalyticsv2-application.html
CloudformationResource:: AWS::KinesisAnalyticsV2::Application
Mixin:: true
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview import mixins
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

cfn_application_props_mixin = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin(kinesisanalyticsv2_mixins.CfnApplicationMixinProps(
    application_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ApplicationConfigurationProperty(
        application_code_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ApplicationCodeConfigurationProperty(
            code_content=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.CodeContentProperty(
                s3_content_location=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.S3ContentLocationProperty(
                    bucket_arn="bucketArn",
                    file_key="fileKey",
                    object_version="objectVersion"
                ),
                text_content="textContent",
                zip_file_content="zipFileContent"
            ),
            code_content_type="codeContentType"
        ),
        application_encryption_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ApplicationEncryptionConfigurationProperty(
            key_id="keyId",
            key_type="keyType"
        ),
        application_snapshot_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ApplicationSnapshotConfigurationProperty(
            snapshots_enabled=False
        ),
        application_system_rollback_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ApplicationSystemRollbackConfigurationProperty(
            rollback_enabled=False
        ),
        environment_properties=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.EnvironmentPropertiesProperty(
            property_groups=[kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.PropertyGroupProperty(
                property_group_id="propertyGroupId",
                property_map={
                    "property_map_key": "propertyMap"
                }
            )]
        ),
        flink_application_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.FlinkApplicationConfigurationProperty(
            checkpoint_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.CheckpointConfigurationProperty(
                checkpointing_enabled=False,
                checkpoint_interval=123,
                configuration_type="configurationType",
                min_pause_between_checkpoints=123
            ),
            monitoring_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.MonitoringConfigurationProperty(
                configuration_type="configurationType",
                log_level="logLevel",
                metrics_level="metricsLevel"
            ),
            parallelism_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ParallelismConfigurationProperty(
                auto_scaling_enabled=False,
                configuration_type="configurationType",
                parallelism=123,
                parallelism_per_kpu=123
            )
        ),
        sql_application_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.SqlApplicationConfigurationProperty(
            inputs=[kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.InputProperty(
                input_parallelism=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.InputParallelismProperty(
                    count=123
                ),
                input_processing_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.InputProcessingConfigurationProperty(
                    input_lambda_processor=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.InputLambdaProcessorProperty(
                        resource_arn="resourceArn"
                    )
                ),
                input_schema=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.InputSchemaProperty(
                    record_columns=[kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.RecordColumnProperty(
                        mapping="mapping",
                        name="name",
                        sql_type="sqlType"
                    )],
                    record_encoding="recordEncoding",
                    record_format=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.RecordFormatProperty(
                        mapping_parameters=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.MappingParametersProperty(
                            csv_mapping_parameters=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.CSVMappingParametersProperty(
                                record_column_delimiter="recordColumnDelimiter",
                                record_row_delimiter="recordRowDelimiter"
                            ),
                            json_mapping_parameters=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.JSONMappingParametersProperty(
                                record_row_path="recordRowPath"
                            )
                        ),
                        record_format_type="recordFormatType"
                    )
                ),
                kinesis_firehose_input=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.KinesisFirehoseInputProperty(
                    resource_arn="resourceArn"
                ),
                kinesis_streams_input=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.KinesisStreamsInputProperty(
                    resource_arn="resourceArn"
                ),
                name_prefix="namePrefix"
            )]
        ),
        vpc_configurations=[kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.VpcConfigurationProperty(
            security_group_ids=["securityGroupIds"],
            subnet_ids=["subnetIds"]
        )],
        zeppelin_application_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ZeppelinApplicationConfigurationProperty(
            catalog_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.CatalogConfigurationProperty(
                glue_data_catalog_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.GlueDataCatalogConfigurationProperty(
                    database_arn="databaseArn"
                )
            ),
            custom_artifacts_configuration=[kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.CustomArtifactConfigurationProperty(
                artifact_type="artifactType",
                maven_reference=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.MavenReferenceProperty(
                    artifact_id="artifactId",
                    group_id="groupId",
                    version="version"
                ),
                s3_content_location=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.S3ContentLocationProperty(
                    bucket_arn="bucketArn",
                    file_key="fileKey",
                    object_version="objectVersion"
                )
            )],
            deploy_as_application_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.DeployAsApplicationConfigurationProperty(
                s3_content_location=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.S3ContentBaseLocationProperty(
                    base_path="basePath",
                    bucket_arn="bucketArn"
                )
            ),
            monitoring_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ZeppelinMonitoringConfigurationProperty(
                log_level="logLevel"
            )
        )
    ),
    application_description="applicationDescription",
    application_maintenance_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ApplicationMaintenanceConfigurationProperty(
        application_maintenance_window_start_time="applicationMaintenanceWindowStartTime"
    ),
    application_mode="applicationMode",
    application_name="applicationName",
    run_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.RunConfigurationProperty(
        application_restore_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ApplicationRestoreConfigurationProperty(
            application_restore_type="applicationRestoreType",
            snapshot_name="snapshotName"
        ),
        flink_run_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.FlinkRunConfigurationProperty(
            allow_non_restored_state=False
        )
    ),
    runtime_environment="runtimeEnvironment",
    service_execution_role="serviceExecutionRole",
    tags=[CfnTag(
        key="key",
        value="value"
    )]
),
    strategy=mixins.PropertyMergeStrategy.OVERRIDE
)

Create a mixin to apply properties to AWS::KinesisAnalyticsV2::Application.

Parameters:

props (Union[CfnApplicationMixinProps, Dict[str, Any]]) – L1 properties to apply.
strategy (Optional[PropertyMergeStrategy]) – (experimental) Strategy for merging nested properties. Default: - PropertyMergeStrategy.MERGE

Methods

apply_to(construct)

Apply the mixin properties to the construct.

Parameters:: construct (IConstruct)
Return type:: IConstruct

supports(construct)

Check if this mixin supports the given construct.

Parameters:: construct (IConstruct)
Return type:: bool

Attributes

CFN_PROPERTY_KEYS = ['applicationConfiguration', 'applicationDescription', 'applicationMaintenanceConfiguration', 'applicationMode', 'applicationName', 'runConfiguration', 'runtimeEnvironment', 'serviceExecutionRole', 'tags']

Static Methods

classmethod is_mixin(x)

(experimental) Checks if x is a Mixin.

Parameters:: x (Any) – Any object.
Return type:: bool
Returns:: true if x is an object created from a class which extends Mixin.
Stability:: experimental

ApplicationCodeConfigurationProperty

class CfnApplicationPropsMixin.ApplicationCodeConfigurationProperty(*, code_content=None, code_content_type=None)

Bases: object

Describes code configuration for an application.

Parameters:

code_content (Union[IResolvable, CodeContentProperty, Dict[str, Any], None]) – The location and type of the application code.
code_content_type (Optional[str]) – Specifies whether the code content is in text or zip format.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationcodeconfiguration.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

application_code_configuration_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ApplicationCodeConfigurationProperty(
    code_content=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.CodeContentProperty(
        s3_content_location=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.S3ContentLocationProperty(
            bucket_arn="bucketArn",
            file_key="fileKey",
            object_version="objectVersion"
        ),
        text_content="textContent",
        zip_file_content="zipFileContent"
    ),
    code_content_type="codeContentType"
)

Attributes

code_content

The location and type of the application code.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationcodeconfiguration.html#cfn-kinesisanalyticsv2-application-applicationcodeconfiguration-codecontent

code_content_type

Specifies whether the code content is in text or zip format.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationcodeconfiguration.html#cfn-kinesisanalyticsv2-application-applicationcodeconfiguration-codecontenttype

ApplicationConfigurationProperty

class CfnApplicationPropsMixin.ApplicationConfigurationProperty(*, application_code_configuration=None, application_encryption_configuration=None, application_snapshot_configuration=None, application_system_rollback_configuration=None, environment_properties=None, flink_application_configuration=None, sql_application_configuration=None, vpc_configurations=None, zeppelin_application_configuration=None)

Bases: object

Specifies the creation parameters for a Managed Service for Apache Flink application.

Parameters:

application_code_configuration (Union[IResolvable, ApplicationCodeConfigurationProperty, Dict[str, Any], None]) – The code location and type parameters for a Managed Service for Apache Flink application.
application_encryption_configuration (Union[IResolvable, ApplicationEncryptionConfigurationProperty, Dict[str, Any], None]) – The configuration to manage encryption at rest.
application_snapshot_configuration (Union[IResolvable, ApplicationSnapshotConfigurationProperty, Dict[str, Any], None]) – Describes whether snapshots are enabled for a Managed Service for Apache Flink application.
application_system_rollback_configuration (Union[IResolvable, ApplicationSystemRollbackConfigurationProperty, Dict[str, Any], None]) – Describes whether system rollbacks are enabled for a Managed Service for Apache Flink application.
environment_properties (Union[IResolvable, EnvironmentPropertiesProperty, Dict[str, Any], None]) – Describes execution properties for a Managed Service for Apache Flink application.
flink_application_configuration (Union[IResolvable, FlinkApplicationConfigurationProperty, Dict[str, Any], None]) – The creation and update parameters for a Managed Service for Apache Flink application.
sql_application_configuration (Union[IResolvable, SqlApplicationConfigurationProperty, Dict[str, Any], None]) – The creation and update parameters for a SQL-based Kinesis Data Analytics application.
vpc_configurations (Union[IResolvable, Sequence[Union[IResolvable, VpcConfigurationProperty, Dict[str, Any]]], None]) – The array of descriptions of VPC configurations available to the application.
zeppelin_application_configuration (Union[IResolvable, ZeppelinApplicationConfigurationProperty, Dict[str, Any], None]) – The configuration parameters for a Kinesis Data Analytics Studio notebook.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationconfiguration.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

application_configuration_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ApplicationConfigurationProperty(
    application_code_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ApplicationCodeConfigurationProperty(
        code_content=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.CodeContentProperty(
            s3_content_location=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.S3ContentLocationProperty(
                bucket_arn="bucketArn",
                file_key="fileKey",
                object_version="objectVersion"
            ),
            text_content="textContent",
            zip_file_content="zipFileContent"
        ),
        code_content_type="codeContentType"
    ),
    application_encryption_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ApplicationEncryptionConfigurationProperty(
        key_id="keyId",
        key_type="keyType"
    ),
    application_snapshot_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ApplicationSnapshotConfigurationProperty(
        snapshots_enabled=False
    ),
    application_system_rollback_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ApplicationSystemRollbackConfigurationProperty(
        rollback_enabled=False
    ),
    environment_properties=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.EnvironmentPropertiesProperty(
        property_groups=[kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.PropertyGroupProperty(
            property_group_id="propertyGroupId",
            property_map={
                "property_map_key": "propertyMap"
            }
        )]
    ),
    flink_application_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.FlinkApplicationConfigurationProperty(
        checkpoint_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.CheckpointConfigurationProperty(
            checkpointing_enabled=False,
            checkpoint_interval=123,
            configuration_type="configurationType",
            min_pause_between_checkpoints=123
        ),
        monitoring_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.MonitoringConfigurationProperty(
            configuration_type="configurationType",
            log_level="logLevel",
            metrics_level="metricsLevel"
        ),
        parallelism_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ParallelismConfigurationProperty(
            auto_scaling_enabled=False,
            configuration_type="configurationType",
            parallelism=123,
            parallelism_per_kpu=123
        )
    ),
    sql_application_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.SqlApplicationConfigurationProperty(
        inputs=[kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.InputProperty(
            input_parallelism=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.InputParallelismProperty(
                count=123
            ),
            input_processing_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.InputProcessingConfigurationProperty(
                input_lambda_processor=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.InputLambdaProcessorProperty(
                    resource_arn="resourceArn"
                )
            ),
            input_schema=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.InputSchemaProperty(
                record_columns=[kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.RecordColumnProperty(
                    mapping="mapping",
                    name="name",
                    sql_type="sqlType"
                )],
                record_encoding="recordEncoding",
                record_format=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.RecordFormatProperty(
                    mapping_parameters=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.MappingParametersProperty(
                        csv_mapping_parameters=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.CSVMappingParametersProperty(
                            record_column_delimiter="recordColumnDelimiter",
                            record_row_delimiter="recordRowDelimiter"
                        ),
                        json_mapping_parameters=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.JSONMappingParametersProperty(
                            record_row_path="recordRowPath"
                        )
                    ),
                    record_format_type="recordFormatType"
                )
            ),
            kinesis_firehose_input=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.KinesisFirehoseInputProperty(
                resource_arn="resourceArn"
            ),
            kinesis_streams_input=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.KinesisStreamsInputProperty(
                resource_arn="resourceArn"
            ),
            name_prefix="namePrefix"
        )]
    ),
    vpc_configurations=[kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.VpcConfigurationProperty(
        security_group_ids=["securityGroupIds"],
        subnet_ids=["subnetIds"]
    )],
    zeppelin_application_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ZeppelinApplicationConfigurationProperty(
        catalog_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.CatalogConfigurationProperty(
            glue_data_catalog_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.GlueDataCatalogConfigurationProperty(
                database_arn="databaseArn"
            )
        ),
        custom_artifacts_configuration=[kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.CustomArtifactConfigurationProperty(
            artifact_type="artifactType",
            maven_reference=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.MavenReferenceProperty(
                artifact_id="artifactId",
                group_id="groupId",
                version="version"
            ),
            s3_content_location=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.S3ContentLocationProperty(
                bucket_arn="bucketArn",
                file_key="fileKey",
                object_version="objectVersion"
            )
        )],
        deploy_as_application_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.DeployAsApplicationConfigurationProperty(
            s3_content_location=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.S3ContentBaseLocationProperty(
                base_path="basePath",
                bucket_arn="bucketArn"
            )
        ),
        monitoring_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ZeppelinMonitoringConfigurationProperty(
            log_level="logLevel"
        )
    )
)

Attributes

application_code_configuration

The code location and type parameters for a Managed Service for Apache Flink application.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationconfiguration.html#cfn-kinesisanalyticsv2-application-applicationconfiguration-applicationcodeconfiguration

application_encryption_configuration

The configuration to manage encryption at rest.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationconfiguration.html#cfn-kinesisanalyticsv2-application-applicationconfiguration-applicationencryptionconfiguration

application_snapshot_configuration

Describes whether snapshots are enabled for a Managed Service for Apache Flink application.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationconfiguration.html#cfn-kinesisanalyticsv2-application-applicationconfiguration-applicationsnapshotconfiguration

application_system_rollback_configuration

Describes whether system rollbacks are enabled for a Managed Service for Apache Flink application.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationconfiguration.html#cfn-kinesisanalyticsv2-application-applicationconfiguration-applicationsystemrollbackconfiguration

environment_properties

Describes execution properties for a Managed Service for Apache Flink application.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationconfiguration.html#cfn-kinesisanalyticsv2-application-applicationconfiguration-environmentproperties

flink_application_configuration

The creation and update parameters for a Managed Service for Apache Flink application.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationconfiguration.html#cfn-kinesisanalyticsv2-application-applicationconfiguration-flinkapplicationconfiguration

sql_application_configuration

The creation and update parameters for a SQL-based Kinesis Data Analytics application.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationconfiguration.html#cfn-kinesisanalyticsv2-application-applicationconfiguration-sqlapplicationconfiguration

vpc_configurations

The array of descriptions of VPC configurations available to the application.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationconfiguration.html#cfn-kinesisanalyticsv2-application-applicationconfiguration-vpcconfigurations

zeppelin_application_configuration

The configuration parameters for a Kinesis Data Analytics Studio notebook.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationconfiguration.html#cfn-kinesisanalyticsv2-application-applicationconfiguration-zeppelinapplicationconfiguration

ApplicationEncryptionConfigurationProperty

class CfnApplicationPropsMixin.ApplicationEncryptionConfigurationProperty(*, key_id=None, key_type=None)

Bases: object

Specifies the configuration to manage encryption at rest.

Parameters:

key_id (Optional[str]) – The key ARN, key ID, alias ARN, or alias name of the KMS key used for encryption at rest.
key_type (Optional[str]) – Specifies the type of key used for encryption at rest.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationencryptionconfiguration.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

application_encryption_configuration_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ApplicationEncryptionConfigurationProperty(
    key_id="keyId",
    key_type="keyType"
)

Attributes

key_id

The key ARN, key ID, alias ARN, or alias name of the KMS key used for encryption at rest.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationencryptionconfiguration.html#cfn-kinesisanalyticsv2-application-applicationencryptionconfiguration-keyid

key_type

Specifies the type of key used for encryption at rest.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationencryptionconfiguration.html#cfn-kinesisanalyticsv2-application-applicationencryptionconfiguration-keytype

ApplicationMaintenanceConfigurationProperty

class CfnApplicationPropsMixin.ApplicationMaintenanceConfigurationProperty(*, application_maintenance_window_start_time=None)

Bases: object

Specifies the maintenance configuration for a AKAlong .

Parameters:: application_maintenance_window_start_time (Optional[str]) – The UTC timestamp of a day from which the eight-hour maintenance window will begin every day of the week. Maintenance of the application happens only during this eight-hour window.
See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationmaintenanceconfiguration.html
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

application_maintenance_configuration_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ApplicationMaintenanceConfigurationProperty(
    application_maintenance_window_start_time="applicationMaintenanceWindowStartTime"
)

Attributes

application_maintenance_window_start_time

The UTC timestamp of a day from which the eight-hour maintenance window will begin every day of the week.

Maintenance of the application happens only during this eight-hour window.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationmaintenanceconfiguration.html#cfn-kinesisanalyticsv2-application-applicationmaintenanceconfiguration-applicationmaintenancewindowstarttime

ApplicationRestoreConfigurationProperty

class CfnApplicationPropsMixin.ApplicationRestoreConfigurationProperty(*, application_restore_type=None, snapshot_name=None)

Bases: object

Specifies the method and snapshot to use when restarting an application using previously saved application state.

Parameters:

application_restore_type (Optional[str]) – Specifies how the application should be restored.
snapshot_name (Optional[str]) – The identifier of an existing snapshot of application state to use to restart an application. The application uses this value if RESTORE_FROM_CUSTOM_SNAPSHOT is specified for the ApplicationRestoreType .

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationrestoreconfiguration.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

application_restore_configuration_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ApplicationRestoreConfigurationProperty(
    application_restore_type="applicationRestoreType",
    snapshot_name="snapshotName"
)

Attributes

application_restore_type

Specifies how the application should be restored.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationrestoreconfiguration.html#cfn-kinesisanalyticsv2-application-applicationrestoreconfiguration-applicationrestoretype

snapshot_name

The identifier of an existing snapshot of application state to use to restart an application.

The application uses this value if RESTORE_FROM_CUSTOM_SNAPSHOT is specified for the ApplicationRestoreType .

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationrestoreconfiguration.html#cfn-kinesisanalyticsv2-application-applicationrestoreconfiguration-snapshotname

ApplicationSnapshotConfigurationProperty

class CfnApplicationPropsMixin.ApplicationSnapshotConfigurationProperty(*, snapshots_enabled=None)

Bases: object

Describes whether snapshots are enabled for a Managed Service for Apache Flink application.

Parameters:: snapshots_enabled (Union[bool, IResolvable, None]) – Describes whether snapshots are enabled for a Managed Service for Apache Flink application.
See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationsnapshotconfiguration.html
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

application_snapshot_configuration_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ApplicationSnapshotConfigurationProperty(
    snapshots_enabled=False
)

Attributes

snapshots_enabled

Describes whether snapshots are enabled for a Managed Service for Apache Flink application.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationsnapshotconfiguration.html#cfn-kinesisanalyticsv2-application-applicationsnapshotconfiguration-snapshotsenabled

ApplicationSystemRollbackConfigurationProperty

class CfnApplicationPropsMixin.ApplicationSystemRollbackConfigurationProperty(*, rollback_enabled=None)

Bases: object

Describes the system rollback configuration for a Managed Service for Apache Flink application.

Parameters:: rollback_enabled (Union[bool, IResolvable, None]) – Describes whether system rollbacks are enabled for a Managed Service for Apache Flink application.
See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationsystemrollbackconfiguration.html
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

application_system_rollback_configuration_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ApplicationSystemRollbackConfigurationProperty(
    rollback_enabled=False
)

Attributes

rollback_enabled

Describes whether system rollbacks are enabled for a Managed Service for Apache Flink application.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationsystemrollbackconfiguration.html#cfn-kinesisanalyticsv2-application-applicationsystemrollbackconfiguration-rollbackenabled

CSVMappingParametersProperty

class CfnApplicationPropsMixin.CSVMappingParametersProperty(*, record_column_delimiter=None, record_row_delimiter=None)

Bases: object

For a SQL-based Kinesis Data Analytics application, provides additional mapping information when the record format uses delimiters, such as CSV.

For example, the following sample records use CSV format, where the records use the ‘n’ as the row delimiter and a comma (“,”) as the column delimiter:

"name1", "address1"

"name2", "address2"

Parameters:

record_column_delimiter (Optional[str]) – The column delimiter. For example, in a CSV format, a comma (“,”) is the typical column delimiter.
record_row_delimiter (Optional[str]) – The row delimiter. For example, in a CSV format, ‘n’ is the typical row delimiter.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-csvmappingparameters.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

c_sVMapping_parameters_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.CSVMappingParametersProperty(
    record_column_delimiter="recordColumnDelimiter",
    record_row_delimiter="recordRowDelimiter"
)

Attributes

record_column_delimiter

The column delimiter.

For example, in a CSV format, a comma (“,”) is the typical column delimiter.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-csvmappingparameters.html#cfn-kinesisanalyticsv2-application-csvmappingparameters-recordcolumndelimiter

record_row_delimiter

The row delimiter.

For example, in a CSV format, ‘n’ is the typical row delimiter.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-csvmappingparameters.html#cfn-kinesisanalyticsv2-application-csvmappingparameters-recordrowdelimiter

CatalogConfigurationProperty

class CfnApplicationPropsMixin.CatalogConfigurationProperty(*, glue_data_catalog_configuration=None)

Bases: object

The configuration parameters for the default Amazon Glue database.

You use this database for SQL queries that you write in a Kinesis Data Analytics Studio notebook.

Parameters:: glue_data_catalog_configuration (Union[IResolvable, GlueDataCatalogConfigurationProperty, Dict[str, Any], None]) – The configuration parameters for the default Amazon Glue database. You use this database for Apache Flink SQL queries and table API transforms that you write in a Kinesis Data Analytics Studio notebook.
See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-catalogconfiguration.html
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

catalog_configuration_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.CatalogConfigurationProperty(
    glue_data_catalog_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.GlueDataCatalogConfigurationProperty(
        database_arn="databaseArn"
    )
)

Attributes

glue_data_catalog_configuration

The configuration parameters for the default Amazon Glue database.

You use this database for Apache Flink SQL queries and table API transforms that you write in a Kinesis Data Analytics Studio notebook.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-catalogconfiguration.html#cfn-kinesisanalyticsv2-application-catalogconfiguration-gluedatacatalogconfiguration

CheckpointConfigurationProperty

class CfnApplicationPropsMixin.CheckpointConfigurationProperty(*, checkpointing_enabled=None, checkpoint_interval=None, configuration_type=None, min_pause_between_checkpoints=None)

Bases: object

Describes an application’s checkpointing configuration.

Checkpointing is the process of persisting application state for fault tolerance. For more information, see Checkpoints for Fault Tolerance in the Apache Flink Documentation .

Parameters:

checkpointing_enabled (Union[bool, IResolvable, None]) – Describes whether checkpointing is enabled for a Managed Service for Apache Flink application. .. epigraph:: If CheckpointConfiguration.ConfigurationType is DEFAULT , the application will use a CheckpointingEnabled value of true , even if this value is set to another value using this API or in application code.
checkpoint_interval (Union[int, float, None]) – Describes the interval in milliseconds between checkpoint operations. .. epigraph:: If CheckpointConfiguration.ConfigurationType is DEFAULT , the application will use a CheckpointInterval value of 60000, even if this value is set to another value using this API or in application code.
configuration_type (Optional[str]) – Describes whether the application uses Managed Service for Apache Flink’ default checkpointing behavior. You must set this property to CUSTOM in order to set the CheckpointingEnabled , CheckpointInterval , or MinPauseBetweenCheckpoints parameters. .. epigraph:: If this value is set to DEFAULT , the application will use the following values, even if they are set to other values using APIs or application code: - CheckpointingEnabled: true - CheckpointInterval: 60000 - MinPauseBetweenCheckpoints: 5000
min_pause_between_checkpoints (Union[int, float, None]) –
Describes the minimum time in milliseconds after a checkpoint operation completes that a new checkpoint operation can start. If a checkpoint operation takes longer than the CheckpointInterval , the application otherwise performs continual checkpoint operations. For more information, see Tuning Checkpointing in the Apache Flink Documentation . .. epigraph:: If CheckpointConfiguration.ConfigurationType is DEFAULT , the application will use a MinPauseBetweenCheckpoints value of 5000, even if this value is set using this API or in application code.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-checkpointconfiguration.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

checkpoint_configuration_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.CheckpointConfigurationProperty(
    checkpointing_enabled=False,
    checkpoint_interval=123,
    configuration_type="configurationType",
    min_pause_between_checkpoints=123
)

Attributes

checkpoint_interval

Describes the interval in milliseconds between checkpoint operations.

If CheckpointConfiguration.ConfigurationType is DEFAULT , the application will use a CheckpointInterval value of 60000, even if this value is set to another value using this API or in application code.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-checkpointconfiguration.html#cfn-kinesisanalyticsv2-application-checkpointconfiguration-checkpointinterval

checkpointing_enabled

Describes whether checkpointing is enabled for a Managed Service for Apache Flink application.

If CheckpointConfiguration.ConfigurationType is DEFAULT , the application will use a CheckpointingEnabled value of true , even if this value is set to another value using this API or in application code.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-checkpointconfiguration.html#cfn-kinesisanalyticsv2-application-checkpointconfiguration-checkpointingenabled

configuration_type

Describes whether the application uses Managed Service for Apache Flink’ default checkpointing behavior.

You must set this property to CUSTOM in order to set the CheckpointingEnabled , CheckpointInterval , or MinPauseBetweenCheckpoints parameters. .. epigraph:

If this value is set to ``DEFAULT`` , the application will use the following values, even if they are set to other values using APIs or application code:

- *CheckpointingEnabled:* true
- *CheckpointInterval:* 60000
- *MinPauseBetweenCheckpoints:* 5000

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-checkpointconfiguration.html#cfn-kinesisanalyticsv2-application-checkpointconfiguration-configurationtype

min_pause_between_checkpoints

Describes the minimum time in milliseconds after a checkpoint operation completes that a new checkpoint operation can start.

If a checkpoint operation takes longer than the CheckpointInterval , the application otherwise performs continual checkpoint operations. For more information, see Tuning Checkpointing in the Apache Flink Documentation . .. epigraph:

If ``CheckpointConfiguration.ConfigurationType`` is ``DEFAULT`` , the application will use a ``MinPauseBetweenCheckpoints`` value of 5000, even if this value is set using this API or in application code.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-checkpointconfiguration.html#cfn-kinesisanalyticsv2-application-checkpointconfiguration-minpausebetweencheckpoints

CodeContentProperty

class CfnApplicationPropsMixin.CodeContentProperty(*, s3_content_location=None, text_content=None, zip_file_content=None)

Bases: object

Specifies either the application code, or the location of the application code, for a Managed Service for Apache Flink application.

Parameters:

s3_content_location (Union[IResolvable, S3ContentLocationProperty, Dict[str, Any], None]) – Information about the Amazon S3 bucket that contains the application code.
text_content (Optional[str]) – The text-format code for a Managed Service for Apache Flink application.
zip_file_content (Optional[str]) – The zip-format code for a Managed Service for Apache Flink application.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-codecontent.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

code_content_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.CodeContentProperty(
    s3_content_location=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.S3ContentLocationProperty(
        bucket_arn="bucketArn",
        file_key="fileKey",
        object_version="objectVersion"
    ),
    text_content="textContent",
    zip_file_content="zipFileContent"
)

Attributes

s3_content_location

Information about the Amazon S3 bucket that contains the application code.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-codecontent.html#cfn-kinesisanalyticsv2-application-codecontent-s3contentlocation

text_content

The text-format code for a Managed Service for Apache Flink application.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-codecontent.html#cfn-kinesisanalyticsv2-application-codecontent-textcontent

zip_file_content

The zip-format code for a Managed Service for Apache Flink application.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-codecontent.html#cfn-kinesisanalyticsv2-application-codecontent-zipfilecontent

CustomArtifactConfigurationProperty

class CfnApplicationPropsMixin.CustomArtifactConfigurationProperty(*, artifact_type=None, maven_reference=None, s3_content_location=None)

Bases: object

The configuration of connectors and user-defined functions.

Parameters:

artifact_type (Optional[str]) – Set this to either UDF or DEPENDENCY_JAR . UDF stands for user-defined functions. This type of artifact must be in an S3 bucket. A DEPENDENCY_JAR can be in either Maven or an S3 bucket.
maven_reference (Union[IResolvable, MavenReferenceProperty, Dict[str, Any], None]) – The parameters required to fully specify a Maven reference.
s3_content_location (Union[IResolvable, S3ContentLocationProperty, Dict[str, Any], None]) – The location of the custom artifacts.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-customartifactconfiguration.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

custom_artifact_configuration_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.CustomArtifactConfigurationProperty(
    artifact_type="artifactType",
    maven_reference=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.MavenReferenceProperty(
        artifact_id="artifactId",
        group_id="groupId",
        version="version"
    ),
    s3_content_location=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.S3ContentLocationProperty(
        bucket_arn="bucketArn",
        file_key="fileKey",
        object_version="objectVersion"
    )
)

Attributes

artifact_type

Set this to either UDF or DEPENDENCY_JAR .

UDF stands for user-defined functions. This type of artifact must be in an S3 bucket. A DEPENDENCY_JAR can be in either Maven or an S3 bucket.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-customartifactconfiguration.html#cfn-kinesisanalyticsv2-application-customartifactconfiguration-artifacttype

maven_reference

The parameters required to fully specify a Maven reference.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-customartifactconfiguration.html#cfn-kinesisanalyticsv2-application-customartifactconfiguration-mavenreference

s3_content_location

The location of the custom artifacts.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-customartifactconfiguration.html#cfn-kinesisanalyticsv2-application-customartifactconfiguration-s3contentlocation

DeployAsApplicationConfigurationProperty

class CfnApplicationPropsMixin.DeployAsApplicationConfigurationProperty(*, s3_content_location=None)

Bases: object

The information required to deploy a Kinesis Data Analytics Studio notebook as an application with durable state.

Parameters:: s3_content_location (Union[IResolvable, S3ContentBaseLocationProperty, Dict[str, Any], None]) – The description of an Amazon S3 object that contains the Amazon Data Analytics application, including the Amazon Resource Name (ARN) of the S3 bucket, the name of the Amazon S3 object that contains the data, and the version number of the Amazon S3 object that contains the data.
See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-deployasapplicationconfiguration.html
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

deploy_as_application_configuration_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.DeployAsApplicationConfigurationProperty(
    s3_content_location=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.S3ContentBaseLocationProperty(
        base_path="basePath",
        bucket_arn="bucketArn"
    )
)

Attributes

s3_content_location

The description of an Amazon S3 object that contains the Amazon Data Analytics application, including the Amazon Resource Name (ARN) of the S3 bucket, the name of the Amazon S3 object that contains the data, and the version number of the Amazon S3 object that contains the data.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-deployasapplicationconfiguration.html#cfn-kinesisanalyticsv2-application-deployasapplicationconfiguration-s3contentlocation

EnvironmentPropertiesProperty

class CfnApplicationPropsMixin.EnvironmentPropertiesProperty(*, property_groups=None)

Bases: object

Describes execution properties for a Managed Service for Apache Flink application.

Parameters:: property_groups (Union[IResolvable, Sequence[Union[IResolvable, PropertyGroupProperty, Dict[str, Any]]], None]) – Describes the execution property groups.
See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-environmentproperties.html
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

environment_properties_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.EnvironmentPropertiesProperty(
    property_groups=[kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.PropertyGroupProperty(
        property_group_id="propertyGroupId",
        property_map={
            "property_map_key": "propertyMap"
        }
    )]
)

Attributes

property_groups

Describes the execution property groups.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-environmentproperties.html#cfn-kinesisanalyticsv2-application-environmentproperties-propertygroups

FlinkApplicationConfigurationProperty

class CfnApplicationPropsMixin.FlinkApplicationConfigurationProperty(*, checkpoint_configuration=None, monitoring_configuration=None, parallelism_configuration=None)

Bases: object

Describes configuration parameters for a Managed Service for Apache Flink application or a Studio notebook.

Parameters:

checkpoint_configuration (Union[IResolvable, CheckpointConfigurationProperty, Dict[str, Any], None]) –
Describes an application’s checkpointing configuration. Checkpointing is the process of persisting application state for fault tolerance. For more information, see Checkpoints for Fault Tolerance in the Apache Flink Documentation .
monitoring_configuration (Union[IResolvable, MonitoringConfigurationProperty, Dict[str, Any], None]) – Describes configuration parameters for Amazon CloudWatch logging for an application.
parallelism_configuration (Union[IResolvable, ParallelismConfigurationProperty, Dict[str, Any], None]) – Describes parameters for how an application executes multiple tasks simultaneously.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-flinkapplicationconfiguration.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

flink_application_configuration_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.FlinkApplicationConfigurationProperty(
    checkpoint_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.CheckpointConfigurationProperty(
        checkpointing_enabled=False,
        checkpoint_interval=123,
        configuration_type="configurationType",
        min_pause_between_checkpoints=123
    ),
    monitoring_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.MonitoringConfigurationProperty(
        configuration_type="configurationType",
        log_level="logLevel",
        metrics_level="metricsLevel"
    ),
    parallelism_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ParallelismConfigurationProperty(
        auto_scaling_enabled=False,
        configuration_type="configurationType",
        parallelism=123,
        parallelism_per_kpu=123
    )
)

Attributes

checkpoint_configuration

Describes an application’s checkpointing configuration.

Checkpointing is the process of persisting application state for fault tolerance. For more information, see Checkpoints for Fault Tolerance in the Apache Flink Documentation .

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-flinkapplicationconfiguration.html#cfn-kinesisanalyticsv2-application-flinkapplicationconfiguration-checkpointconfiguration

monitoring_configuration

Describes configuration parameters for Amazon CloudWatch logging for an application.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-flinkapplicationconfiguration.html#cfn-kinesisanalyticsv2-application-flinkapplicationconfiguration-monitoringconfiguration

parallelism_configuration

Describes parameters for how an application executes multiple tasks simultaneously.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-flinkapplicationconfiguration.html#cfn-kinesisanalyticsv2-application-flinkapplicationconfiguration-parallelismconfiguration

FlinkRunConfigurationProperty

class CfnApplicationPropsMixin.FlinkRunConfigurationProperty(*, allow_non_restored_state=None)

Bases: object

Describes the starting parameters for a Managed Service for Apache Flink application.

Parameters:

allow_non_restored_state (Union[bool, IResolvable, None]) –

When restoring from a snapshot, specifies whether the runtime is allowed to skip a state that cannot be mapped to the new program. This will happen if the program is updated between snapshots to remove stateful parameters, and state data in the snapshot no longer corresponds to valid application data. For more information, see Allowing Non-Restored State in the Apache Flink documentation . .. epigraph:: This value defaults to false . If you update your application without specifying this parameter, AllowNonRestoredState will be set to false , even if it was previously set to true .

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-flinkrunconfiguration.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

flink_run_configuration_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.FlinkRunConfigurationProperty(
    allow_non_restored_state=False
)

Attributes

allow_non_restored_state

When restoring from a snapshot, specifies whether the runtime is allowed to skip a state that cannot be mapped to the new program.

This will happen if the program is updated between snapshots to remove stateful parameters, and state data in the snapshot no longer corresponds to valid application data. For more information, see Allowing Non-Restored State in the Apache Flink documentation . .. epigraph:

This value defaults to ``false`` . If you update your application without specifying this parameter, ``AllowNonRestoredState`` will be set to ``false`` , even if it was previously set to ``true`` .

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-flinkrunconfiguration.html#cfn-kinesisanalyticsv2-application-flinkrunconfiguration-allownonrestoredstate

GlueDataCatalogConfigurationProperty

class CfnApplicationPropsMixin.GlueDataCatalogConfigurationProperty(*, database_arn=None)

Bases: object

The configuration of the Glue Data Catalog that you use for Apache Flink SQL queries and table API transforms that you write in an application.

Parameters:: database_arn (Optional[str]) – The Amazon Resource Name (ARN) of the database.
See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-gluedatacatalogconfiguration.html
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

glue_data_catalog_configuration_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.GlueDataCatalogConfigurationProperty(
    database_arn="databaseArn"
)

Attributes

database_arn

The Amazon Resource Name (ARN) of the database.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-gluedatacatalogconfiguration.html#cfn-kinesisanalyticsv2-application-gluedatacatalogconfiguration-databasearn

InputLambdaProcessorProperty

class CfnApplicationPropsMixin.InputLambdaProcessorProperty(*, resource_arn=None)

Bases: object

An object that contains the Amazon Resource Name (ARN) of the Amazon Lambda function that is used to preprocess records in the stream in a SQL-based Kinesis Data Analytics application.

Parameters:: resource_arn (Optional[str]) – The ARN of the Amazon Lambda function that operates on records in the stream. .. epigraph:: To specify an earlier version of the Lambda function than the latest, include the Lambda function version in the Lambda function ARN. For more information about Lambda ARNs, see Example ARNs: Amazon Lambda
See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-inputlambdaprocessor.html
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

input_lambda_processor_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.InputLambdaProcessorProperty(
    resource_arn="resourceArn"
)

Attributes

resource_arn

The ARN of the Amazon Lambda function that operates on records in the stream.

To specify an earlier version of the Lambda function than the latest, include the Lambda function version in the Lambda function ARN. For more information about Lambda ARNs, see Example ARNs: Amazon Lambda

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-inputlambdaprocessor.html#cfn-kinesisanalyticsv2-application-inputlambdaprocessor-resourcearn

InputParallelismProperty

class CfnApplicationPropsMixin.InputParallelismProperty(*, count=None)

Bases: object

For a SQL-based Kinesis Data Analytics application, describes the number of in-application streams to create for a given streaming source.

Parameters:: count (Union[int, float, None]) – The number of in-application streams to create.
See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-inputparallelism.html
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

input_parallelism_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.InputParallelismProperty(
    count=123
)

Attributes

count

The number of in-application streams to create.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-inputparallelism.html#cfn-kinesisanalyticsv2-application-inputparallelism-count

InputProcessingConfigurationProperty

class CfnApplicationPropsMixin.InputProcessingConfigurationProperty(*, input_lambda_processor=None)

Bases: object

For an SQL-based Amazon Kinesis Data Analytics application, describes a processor that is used to preprocess the records in the stream before being processed by your application code.

Currently, the only input processor available is Amazon Lambda .

Parameters:: input_lambda_processor (Union[IResolvable, InputLambdaProcessorProperty, Dict[str, Any], None]) – The InputLambdaProcessor that is used to preprocess the records in the stream before being processed by your application code.
See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-inputprocessingconfiguration.html
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

input_processing_configuration_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.InputProcessingConfigurationProperty(
    input_lambda_processor=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.InputLambdaProcessorProperty(
        resource_arn="resourceArn"
    )
)

Attributes

input_lambda_processor

The InputLambdaProcessor that is used to preprocess the records in the stream before being processed by your application code.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-inputprocessingconfiguration.html#cfn-kinesisanalyticsv2-application-inputprocessingconfiguration-inputlambdaprocessor

InputProperty

class CfnApplicationPropsMixin.InputProperty(*, input_parallelism=None, input_processing_configuration=None, input_schema=None, kinesis_firehose_input=None, kinesis_streams_input=None, name_prefix=None)

Bases: object

When you configure the application input for a SQL-based Kinesis Data Analytics application, you specify the streaming source, the in-application stream name that is created, and the mapping between the two.

Parameters:

input_parallelism (Union[IResolvable, InputParallelismProperty, Dict[str, Any], None]) – Describes the number of in-application streams to create.
input_processing_configuration (Union[IResolvable, InputProcessingConfigurationProperty, Dict[str, Any], None]) –
The InputProcessingConfiguration for the input. An input processor transforms records as they are received from the stream, before the application’s SQL code executes. Currently, the only input processing configuration available is InputLambdaProcessor .
input_schema (Union[IResolvable, InputSchemaProperty, Dict[str, Any], None]) – Describes the format of the data in the streaming source, and how each data element maps to corresponding columns in the in-application stream that is being created. Also used to describe the format of the reference data source.
kinesis_firehose_input (Union[IResolvable, KinesisFirehoseInputProperty, Dict[str, Any], None]) – If the streaming source is an Amazon Kinesis Data Firehose delivery stream, identifies the delivery stream’s ARN.
kinesis_streams_input (Union[IResolvable, KinesisStreamsInputProperty, Dict[str, Any], None]) – If the streaming source is an Amazon Kinesis data stream, identifies the stream’s Amazon Resource Name (ARN).
name_prefix (Optional[str]) – The name prefix to use when creating an in-application stream. Suppose that you specify a prefix “ MyInApplicationStream .” Kinesis Data Analytics then creates one or more (as per the InputParallelism count you specified) in-application streams with the names “ MyInApplicationStream_001 ,” “ MyInApplicationStream_002 ,” and so on.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-input.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

input_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.InputProperty(
    input_parallelism=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.InputParallelismProperty(
        count=123
    ),
    input_processing_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.InputProcessingConfigurationProperty(
        input_lambda_processor=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.InputLambdaProcessorProperty(
            resource_arn="resourceArn"
        )
    ),
    input_schema=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.InputSchemaProperty(
        record_columns=[kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.RecordColumnProperty(
            mapping="mapping",
            name="name",
            sql_type="sqlType"
        )],
        record_encoding="recordEncoding",
        record_format=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.RecordFormatProperty(
            mapping_parameters=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.MappingParametersProperty(
                csv_mapping_parameters=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.CSVMappingParametersProperty(
                    record_column_delimiter="recordColumnDelimiter",
                    record_row_delimiter="recordRowDelimiter"
                ),
                json_mapping_parameters=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.JSONMappingParametersProperty(
                    record_row_path="recordRowPath"
                )
            ),
            record_format_type="recordFormatType"
        )
    ),
    kinesis_firehose_input=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.KinesisFirehoseInputProperty(
        resource_arn="resourceArn"
    ),
    kinesis_streams_input=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.KinesisStreamsInputProperty(
        resource_arn="resourceArn"
    ),
    name_prefix="namePrefix"
)

Attributes

input_parallelism

Describes the number of in-application streams to create.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-input.html#cfn-kinesisanalyticsv2-application-input-inputparallelism

input_processing_configuration

The InputProcessingConfiguration for the input. An input processor transforms records as they are received from the stream, before the application’s SQL code executes. Currently, the only input processing configuration available is InputLambdaProcessor .

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-input.html#cfn-kinesisanalyticsv2-application-input-inputprocessingconfiguration

input_schema

Describes the format of the data in the streaming source, and how each data element maps to corresponding columns in the in-application stream that is being created.

Also used to describe the format of the reference data source.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-input.html#cfn-kinesisanalyticsv2-application-input-inputschema

kinesis_firehose_input

If the streaming source is an Amazon Kinesis Data Firehose delivery stream, identifies the delivery stream’s ARN.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-input.html#cfn-kinesisanalyticsv2-application-input-kinesisfirehoseinput

kinesis_streams_input

If the streaming source is an Amazon Kinesis data stream, identifies the stream’s Amazon Resource Name (ARN).

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-input.html#cfn-kinesisanalyticsv2-application-input-kinesisstreamsinput

name_prefix

The name prefix to use when creating an in-application stream.

Suppose that you specify a prefix “ MyInApplicationStream .” Kinesis Data Analytics then creates one or more (as per the InputParallelism count you specified) in-application streams with the names “ MyInApplicationStream_001 ,” “ MyInApplicationStream_002 ,” and so on.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-input.html#cfn-kinesisanalyticsv2-application-input-nameprefix

InputSchemaProperty

class CfnApplicationPropsMixin.InputSchemaProperty(*, record_columns=None, record_encoding=None, record_format=None)

Bases: object

For a SQL-based Kinesis Data Analytics application, describes the format of the data in the streaming source, and how each data element maps to corresponding columns created in the in-application stream.

Parameters:

record_columns (Union[IResolvable, Sequence[Union[IResolvable, RecordColumnProperty, Dict[str, Any]]], None]) – A list of RecordColumn objects.
record_encoding (Optional[str]) – Specifies the encoding of the records in the streaming source. For example, UTF-8.
record_format (Union[IResolvable, RecordFormatProperty, Dict[str, Any], None]) – Specifies the format of the records on the streaming source.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-inputschema.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

input_schema_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.InputSchemaProperty(
    record_columns=[kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.RecordColumnProperty(
        mapping="mapping",
        name="name",
        sql_type="sqlType"
    )],
    record_encoding="recordEncoding",
    record_format=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.RecordFormatProperty(
        mapping_parameters=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.MappingParametersProperty(
            csv_mapping_parameters=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.CSVMappingParametersProperty(
                record_column_delimiter="recordColumnDelimiter",
                record_row_delimiter="recordRowDelimiter"
            ),
            json_mapping_parameters=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.JSONMappingParametersProperty(
                record_row_path="recordRowPath"
            )
        ),
        record_format_type="recordFormatType"
    )
)

Attributes

record_columns

A list of RecordColumn objects.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-inputschema.html#cfn-kinesisanalyticsv2-application-inputschema-recordcolumns

record_encoding

Specifies the encoding of the records in the streaming source.

For example, UTF-8.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-inputschema.html#cfn-kinesisanalyticsv2-application-inputschema-recordencoding

record_format

Specifies the format of the records on the streaming source.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-inputschema.html#cfn-kinesisanalyticsv2-application-inputschema-recordformat

JSONMappingParametersProperty

class CfnApplicationPropsMixin.JSONMappingParametersProperty(*, record_row_path=None)

Bases: object

For a SQL-based Kinesis Data Analytics application, provides additional mapping information when JSON is the record format on the streaming source.

Parameters:: record_row_path (Optional[str]) – The path to the top-level parent that contains the records.
See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-jsonmappingparameters.html
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

j_sONMapping_parameters_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.JSONMappingParametersProperty(
    record_row_path="recordRowPath"
)

Attributes

record_row_path

The path to the top-level parent that contains the records.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-jsonmappingparameters.html#cfn-kinesisanalyticsv2-application-jsonmappingparameters-recordrowpath

KinesisFirehoseInputProperty

class CfnApplicationPropsMixin.KinesisFirehoseInputProperty(*, resource_arn=None)

Bases: object

For a SQL-based Kinesis Data Analytics application, identifies a Kinesis Data Firehose delivery stream as the streaming source.

You provide the delivery stream’s Amazon Resource Name (ARN).

Parameters:: resource_arn (Optional[str]) – The Amazon Resource Name (ARN) of the delivery stream.
See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-kinesisfirehoseinput.html
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

kinesis_firehose_input_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.KinesisFirehoseInputProperty(
    resource_arn="resourceArn"
)

Attributes

resource_arn

The Amazon Resource Name (ARN) of the delivery stream.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-kinesisfirehoseinput.html#cfn-kinesisanalyticsv2-application-kinesisfirehoseinput-resourcearn

KinesisStreamsInputProperty

class CfnApplicationPropsMixin.KinesisStreamsInputProperty(*, resource_arn=None)

Bases: object

Identifies a Kinesis data stream as the streaming source.

You provide the stream’s Amazon Resource Name (ARN).

Parameters:: resource_arn (Optional[str]) – The ARN of the input Kinesis data stream to read.
See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-kinesisstreamsinput.html
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

kinesis_streams_input_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.KinesisStreamsInputProperty(
    resource_arn="resourceArn"
)

Attributes

resource_arn

The ARN of the input Kinesis data stream to read.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-kinesisstreamsinput.html#cfn-kinesisanalyticsv2-application-kinesisstreamsinput-resourcearn

MappingParametersProperty

class CfnApplicationPropsMixin.MappingParametersProperty(*, csv_mapping_parameters=None, json_mapping_parameters=None)

Bases: object

When you configure a SQL-based Kinesis Data Analytics application’s input at the time of creating or updating an application, provides additional mapping information specific to the record format (such as JSON, CSV, or record fields delimited by some delimiter) on the streaming source.

Parameters:

csv_mapping_parameters (Union[IResolvable, CSVMappingParametersProperty, Dict[str, Any], None]) – Provides additional mapping information when the record format uses delimiters (for example, CSV).
json_mapping_parameters (Union[IResolvable, JSONMappingParametersProperty, Dict[str, Any], None]) – Provides additional mapping information when JSON is the record format on the streaming source.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-mappingparameters.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

mapping_parameters_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.MappingParametersProperty(
    csv_mapping_parameters=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.CSVMappingParametersProperty(
        record_column_delimiter="recordColumnDelimiter",
        record_row_delimiter="recordRowDelimiter"
    ),
    json_mapping_parameters=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.JSONMappingParametersProperty(
        record_row_path="recordRowPath"
    )
)

Attributes

csv_mapping_parameters

Provides additional mapping information when the record format uses delimiters (for example, CSV).

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-mappingparameters.html#cfn-kinesisanalyticsv2-application-mappingparameters-csvmappingparameters

json_mapping_parameters

Provides additional mapping information when JSON is the record format on the streaming source.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-mappingparameters.html#cfn-kinesisanalyticsv2-application-mappingparameters-jsonmappingparameters

MavenReferenceProperty

class CfnApplicationPropsMixin.MavenReferenceProperty(*, artifact_id=None, group_id=None, version=None)

Bases: object

The information required to specify a Maven reference.

You can use Maven references to specify dependency JAR files.

Parameters:

artifact_id (Optional[str]) – The artifact ID of the Maven reference.
group_id (Optional[str]) – The group ID of the Maven reference.
version (Optional[str]) – The version of the Maven reference.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-mavenreference.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

maven_reference_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.MavenReferenceProperty(
    artifact_id="artifactId",
    group_id="groupId",
    version="version"
)

Attributes

artifact_id

The artifact ID of the Maven reference.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-mavenreference.html#cfn-kinesisanalyticsv2-application-mavenreference-artifactid

group_id

The group ID of the Maven reference.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-mavenreference.html#cfn-kinesisanalyticsv2-application-mavenreference-groupid

version

The version of the Maven reference.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-mavenreference.html#cfn-kinesisanalyticsv2-application-mavenreference-version

MonitoringConfigurationProperty

class CfnApplicationPropsMixin.MonitoringConfigurationProperty(*, configuration_type=None, log_level=None, metrics_level=None)

Bases: object

Describes configuration parameters for Amazon CloudWatch logging for a Java-based Kinesis Data Analytics application.

For more information about CloudWatch logging, see Monitoring .

Parameters:

configuration_type (Optional[str]) – Describes whether to use the default CloudWatch logging configuration for an application. You must set this property to CUSTOM in order to set the LogLevel or MetricsLevel parameters.
log_level (Optional[str]) – Describes the verbosity of the CloudWatch Logs for an application.
metrics_level (Optional[str]) – Describes the granularity of the CloudWatch Logs for an application. The Parallelism level is not recommended for applications with a Parallelism over 64 due to excessive costs.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-monitoringconfiguration.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

monitoring_configuration_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.MonitoringConfigurationProperty(
    configuration_type="configurationType",
    log_level="logLevel",
    metrics_level="metricsLevel"
)

Attributes

configuration_type

Describes whether to use the default CloudWatch logging configuration for an application.

You must set this property to CUSTOM in order to set the LogLevel or MetricsLevel parameters.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-monitoringconfiguration.html#cfn-kinesisanalyticsv2-application-monitoringconfiguration-configurationtype

log_level

Describes the verbosity of the CloudWatch Logs for an application.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-monitoringconfiguration.html#cfn-kinesisanalyticsv2-application-monitoringconfiguration-loglevel

metrics_level

Describes the granularity of the CloudWatch Logs for an application.

The Parallelism level is not recommended for applications with a Parallelism over 64 due to excessive costs.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-monitoringconfiguration.html#cfn-kinesisanalyticsv2-application-monitoringconfiguration-metricslevel

ParallelismConfigurationProperty

class CfnApplicationPropsMixin.ParallelismConfigurationProperty(*, auto_scaling_enabled=None, configuration_type=None, parallelism=None, parallelism_per_kpu=None)

Bases: object

Describes parameters for how a Flink-based Kinesis Data Analytics application executes multiple tasks simultaneously.

For more information about parallelism, see Parallel Execution in the Apache Flink Documentation .

Parameters:

auto_scaling_enabled (Union[bool, IResolvable, None]) – Describes whether the Managed Service for Apache Flink service can increase the parallelism of the application in response to increased throughput.
configuration_type (Optional[str]) – Describes whether the application uses the default parallelism for the Managed Service for Apache Flink service. You must set this property to CUSTOM in order to change your application’s AutoScalingEnabled , Parallelism , or ParallelismPerKPU properties.
parallelism (Union[int, float, None]) – Describes the initial number of parallel tasks that a Java-based Kinesis Data Analytics application can perform. The Kinesis Data Analytics service can increase this number automatically if ParallelismConfiguration:AutoScalingEnabled is set to true .
parallelism_per_kpu (Union[int, float, None]) – Describes the number of parallel tasks that a Java-based Kinesis Data Analytics application can perform per Kinesis Processing Unit (KPU) used by the application. For more information about KPUs, see Amazon Kinesis Data Analytics Pricing .

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-parallelismconfiguration.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

parallelism_configuration_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ParallelismConfigurationProperty(
    auto_scaling_enabled=False,
    configuration_type="configurationType",
    parallelism=123,
    parallelism_per_kpu=123
)

Attributes

auto_scaling_enabled

Describes whether the Managed Service for Apache Flink service can increase the parallelism of the application in response to increased throughput.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-parallelismconfiguration.html#cfn-kinesisanalyticsv2-application-parallelismconfiguration-autoscalingenabled

configuration_type

Describes whether the application uses the default parallelism for the Managed Service for Apache Flink service.

You must set this property to CUSTOM in order to change your application’s AutoScalingEnabled , Parallelism , or ParallelismPerKPU properties.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-parallelismconfiguration.html#cfn-kinesisanalyticsv2-application-parallelismconfiguration-configurationtype

parallelism

Describes the initial number of parallel tasks that a Java-based Kinesis Data Analytics application can perform.

The Kinesis Data Analytics service can increase this number automatically if ParallelismConfiguration:AutoScalingEnabled is set to true .

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-parallelismconfiguration.html#cfn-kinesisanalyticsv2-application-parallelismconfiguration-parallelism

parallelism_per_kpu

Describes the number of parallel tasks that a Java-based Kinesis Data Analytics application can perform per Kinesis Processing Unit (KPU) used by the application.

For more information about KPUs, see Amazon Kinesis Data Analytics Pricing .

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-parallelismconfiguration.html#cfn-kinesisanalyticsv2-application-parallelismconfiguration-parallelismperkpu

PropertyGroupProperty

class CfnApplicationPropsMixin.PropertyGroupProperty(*, property_group_id=None, property_map=None)

Bases: object

Property key-value pairs passed into an application.

Parameters:

property_group_id (Optional[str]) – Describes the key of an application execution property key-value pair.
property_map (Union[Mapping[str, str], IResolvable, None]) – Describes the value of an application execution property key-value pair.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-propertygroup.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

property_group_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.PropertyGroupProperty(
    property_group_id="propertyGroupId",
    property_map={
        "property_map_key": "propertyMap"
    }
)

Attributes

property_group_id

Describes the key of an application execution property key-value pair.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-propertygroup.html#cfn-kinesisanalyticsv2-application-propertygroup-propertygroupid

property_map

Describes the value of an application execution property key-value pair.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-propertygroup.html#cfn-kinesisanalyticsv2-application-propertygroup-propertymap

RecordColumnProperty

class CfnApplicationPropsMixin.RecordColumnProperty(*, mapping=None, name=None, sql_type=None)

Bases: object

For a SQL-based Kinesis Data Analytics application, describes the mapping of each data element in the streaming source to the corresponding column in the in-application stream.

Also used to describe the format of the reference data source.

Parameters:

mapping (Optional[str]) – A reference to the data element in the streaming input or the reference data source.
name (Optional[str]) – The name of the column that is created in the in-application input stream or reference table.
sql_type (Optional[str]) – The type of column created in the in-application input stream or reference table.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-recordcolumn.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

record_column_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.RecordColumnProperty(
    mapping="mapping",
    name="name",
    sql_type="sqlType"
)

Attributes

mapping

A reference to the data element in the streaming input or the reference data source.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-recordcolumn.html#cfn-kinesisanalyticsv2-application-recordcolumn-mapping

name

The name of the column that is created in the in-application input stream or reference table.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-recordcolumn.html#cfn-kinesisanalyticsv2-application-recordcolumn-name

sql_type

The type of column created in the in-application input stream or reference table.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-recordcolumn.html#cfn-kinesisanalyticsv2-application-recordcolumn-sqltype

RecordFormatProperty

class CfnApplicationPropsMixin.RecordFormatProperty(*, mapping_parameters=None, record_format_type=None)

Bases: object

For a SQL-based Kinesis Data Analytics application, describes the record format and relevant mapping information that should be applied to schematize the records on the stream.

Parameters:

mapping_parameters (Union[IResolvable, MappingParametersProperty, Dict[str, Any], None]) – When you configure application input at the time of creating or updating an application, provides additional mapping information specific to the record format (such as JSON, CSV, or record fields delimited by some delimiter) on the streaming source.
record_format_type (Optional[str]) – The type of record format.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-recordformat.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

record_format_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.RecordFormatProperty(
    mapping_parameters=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.MappingParametersProperty(
        csv_mapping_parameters=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.CSVMappingParametersProperty(
            record_column_delimiter="recordColumnDelimiter",
            record_row_delimiter="recordRowDelimiter"
        ),
        json_mapping_parameters=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.JSONMappingParametersProperty(
            record_row_path="recordRowPath"
        )
    ),
    record_format_type="recordFormatType"
)

Attributes

mapping_parameters

When you configure application input at the time of creating or updating an application, provides additional mapping information specific to the record format (such as JSON, CSV, or record fields delimited by some delimiter) on the streaming source.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-recordformat.html#cfn-kinesisanalyticsv2-application-recordformat-mappingparameters

record_format_type

The type of record format.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-recordformat.html#cfn-kinesisanalyticsv2-application-recordformat-recordformattype

RunConfigurationProperty

class CfnApplicationPropsMixin.RunConfigurationProperty(*, application_restore_configuration=None, flink_run_configuration=None)

Bases: object

Describes the starting parameters for an Managed Service for Apache Flink application.

Parameters:

application_restore_configuration (Union[IResolvable, ApplicationRestoreConfigurationProperty, Dict[str, Any], None]) – Describes the restore behavior of a restarting application.
flink_run_configuration (Union[IResolvable, FlinkRunConfigurationProperty, Dict[str, Any], None]) – Describes the starting parameters for a Managed Service for Apache Flink application.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-runconfiguration.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

run_configuration_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.RunConfigurationProperty(
    application_restore_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ApplicationRestoreConfigurationProperty(
        application_restore_type="applicationRestoreType",
        snapshot_name="snapshotName"
    ),
    flink_run_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.FlinkRunConfigurationProperty(
        allow_non_restored_state=False
    )
)

Attributes

application_restore_configuration

Describes the restore behavior of a restarting application.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-runconfiguration.html#cfn-kinesisanalyticsv2-application-runconfiguration-applicationrestoreconfiguration

flink_run_configuration

Describes the starting parameters for a Managed Service for Apache Flink application.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-runconfiguration.html#cfn-kinesisanalyticsv2-application-runconfiguration-flinkrunconfiguration

S3ContentBaseLocationProperty

class CfnApplicationPropsMixin.S3ContentBaseLocationProperty(*, base_path=None, bucket_arn=None)

Bases: object

The base location of the Amazon Data Analytics application.

Parameters:

base_path (Optional[str]) – The base path for the S3 bucket.
bucket_arn (Optional[str]) – The Amazon Resource Name (ARN) of the S3 bucket.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-s3contentbaselocation.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

s3_content_base_location_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.S3ContentBaseLocationProperty(
    base_path="basePath",
    bucket_arn="bucketArn"
)

Attributes

base_path

The base path for the S3 bucket.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-s3contentbaselocation.html#cfn-kinesisanalyticsv2-application-s3contentbaselocation-basepath

bucket_arn

The Amazon Resource Name (ARN) of the S3 bucket.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-s3contentbaselocation.html#cfn-kinesisanalyticsv2-application-s3contentbaselocation-bucketarn

S3ContentLocationProperty

class CfnApplicationPropsMixin.S3ContentLocationProperty(*, bucket_arn=None, file_key=None, object_version=None)

Bases: object

The location of an application or a custom artifact.

Parameters:

bucket_arn (Optional[str]) – The Amazon Resource Name (ARN) for the S3 bucket containing the application code.
file_key (Optional[str]) – The file key for the object containing the application code.
object_version (Optional[str]) – The version of the object containing the application code.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-s3contentlocation.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

s3_content_location_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.S3ContentLocationProperty(
    bucket_arn="bucketArn",
    file_key="fileKey",
    object_version="objectVersion"
)

Attributes

bucket_arn

The Amazon Resource Name (ARN) for the S3 bucket containing the application code.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-s3contentlocation.html#cfn-kinesisanalyticsv2-application-s3contentlocation-bucketarn

file_key

The file key for the object containing the application code.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-s3contentlocation.html#cfn-kinesisanalyticsv2-application-s3contentlocation-filekey

object_version

The version of the object containing the application code.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-s3contentlocation.html#cfn-kinesisanalyticsv2-application-s3contentlocation-objectversion

SqlApplicationConfigurationProperty

class CfnApplicationPropsMixin.SqlApplicationConfigurationProperty(*, inputs=None)

Bases: object

Describes the inputs, outputs, and reference data sources for a SQL-based Kinesis Data Analytics application.

Parameters:: inputs (Union[IResolvable, Sequence[Union[IResolvable, InputProperty, Dict[str, Any]]], None]) – The array of Input objects describing the input streams used by the application.
See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-sqlapplicationconfiguration.html
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

sql_application_configuration_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.SqlApplicationConfigurationProperty(
    inputs=[kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.InputProperty(
        input_parallelism=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.InputParallelismProperty(
            count=123
        ),
        input_processing_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.InputProcessingConfigurationProperty(
            input_lambda_processor=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.InputLambdaProcessorProperty(
                resource_arn="resourceArn"
            )
        ),
        input_schema=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.InputSchemaProperty(
            record_columns=[kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.RecordColumnProperty(
                mapping="mapping",
                name="name",
                sql_type="sqlType"
            )],
            record_encoding="recordEncoding",
            record_format=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.RecordFormatProperty(
                mapping_parameters=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.MappingParametersProperty(
                    csv_mapping_parameters=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.CSVMappingParametersProperty(
                        record_column_delimiter="recordColumnDelimiter",
                        record_row_delimiter="recordRowDelimiter"
                    ),
                    json_mapping_parameters=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.JSONMappingParametersProperty(
                        record_row_path="recordRowPath"
                    )
                ),
                record_format_type="recordFormatType"
            )
        ),
        kinesis_firehose_input=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.KinesisFirehoseInputProperty(
            resource_arn="resourceArn"
        ),
        kinesis_streams_input=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.KinesisStreamsInputProperty(
            resource_arn="resourceArn"
        ),
        name_prefix="namePrefix"
    )]
)

Attributes

inputs

The array of Input objects describing the input streams used by the application.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-sqlapplicationconfiguration.html#cfn-kinesisanalyticsv2-application-sqlapplicationconfiguration-inputs

VpcConfigurationProperty

class CfnApplicationPropsMixin.VpcConfigurationProperty(*, security_group_ids=None, subnet_ids=None)

Bases: object

Describes the parameters of a VPC used by the application.

Parameters:

security_group_ids (Optional[Sequence[str]]) – The array of SecurityGroup IDs used by the VPC configuration.
subnet_ids (Optional[Sequence[str]]) – The array of Subnet IDs used by the VPC configuration.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-vpcconfiguration.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

vpc_configuration_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.VpcConfigurationProperty(
    security_group_ids=["securityGroupIds"],
    subnet_ids=["subnetIds"]
)

Attributes

security_group_ids

The array of SecurityGroup IDs used by the VPC configuration.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-vpcconfiguration.html#cfn-kinesisanalyticsv2-application-vpcconfiguration-securitygroupids

subnet_ids

The array of Subnet IDs used by the VPC configuration.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-vpcconfiguration.html#cfn-kinesisanalyticsv2-application-vpcconfiguration-subnetids

ZeppelinApplicationConfigurationProperty

class CfnApplicationPropsMixin.ZeppelinApplicationConfigurationProperty(*, catalog_configuration=None, custom_artifacts_configuration=None, deploy_as_application_configuration=None, monitoring_configuration=None)

Bases: object

The configuration of a Kinesis Data Analytics Studio notebook.

Parameters:

catalog_configuration (Union[IResolvable, CatalogConfigurationProperty, Dict[str, Any], None]) – The Amazon Glue Data Catalog that you use in queries in a Kinesis Data Analytics Studio notebook.
custom_artifacts_configuration (Union[IResolvable, Sequence[Union[IResolvable, CustomArtifactConfigurationProperty, Dict[str, Any]]], None]) – A list of CustomArtifactConfiguration objects.
deploy_as_application_configuration (Union[IResolvable, DeployAsApplicationConfigurationProperty, Dict[str, Any], None]) – The information required to deploy a Kinesis Data Analytics Studio notebook as an application with durable state.
monitoring_configuration (Union[IResolvable, ZeppelinMonitoringConfigurationProperty, Dict[str, Any], None]) – The monitoring configuration of a Kinesis Data Analytics Studio notebook.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-zeppelinapplicationconfiguration.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

zeppelin_application_configuration_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ZeppelinApplicationConfigurationProperty(
    catalog_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.CatalogConfigurationProperty(
        glue_data_catalog_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.GlueDataCatalogConfigurationProperty(
            database_arn="databaseArn"
        )
    ),
    custom_artifacts_configuration=[kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.CustomArtifactConfigurationProperty(
        artifact_type="artifactType",
        maven_reference=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.MavenReferenceProperty(
            artifact_id="artifactId",
            group_id="groupId",
            version="version"
        ),
        s3_content_location=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.S3ContentLocationProperty(
            bucket_arn="bucketArn",
            file_key="fileKey",
            object_version="objectVersion"
        )
    )],
    deploy_as_application_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.DeployAsApplicationConfigurationProperty(
        s3_content_location=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.S3ContentBaseLocationProperty(
            base_path="basePath",
            bucket_arn="bucketArn"
        )
    ),
    monitoring_configuration=kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ZeppelinMonitoringConfigurationProperty(
        log_level="logLevel"
    )
)

Attributes

catalog_configuration

The Amazon Glue Data Catalog that you use in queries in a Kinesis Data Analytics Studio notebook.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-zeppelinapplicationconfiguration.html#cfn-kinesisanalyticsv2-application-zeppelinapplicationconfiguration-catalogconfiguration

custom_artifacts_configuration

A list of CustomArtifactConfiguration objects.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-zeppelinapplicationconfiguration.html#cfn-kinesisanalyticsv2-application-zeppelinapplicationconfiguration-customartifactsconfiguration

deploy_as_application_configuration

The information required to deploy a Kinesis Data Analytics Studio notebook as an application with durable state.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-zeppelinapplicationconfiguration.html#cfn-kinesisanalyticsv2-application-zeppelinapplicationconfiguration-deployasapplicationconfiguration

monitoring_configuration

The monitoring configuration of a Kinesis Data Analytics Studio notebook.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-zeppelinapplicationconfiguration.html#cfn-kinesisanalyticsv2-application-zeppelinapplicationconfiguration-monitoringconfiguration

ZeppelinMonitoringConfigurationProperty

class CfnApplicationPropsMixin.ZeppelinMonitoringConfigurationProperty(*, log_level=None)

Bases: object

Describes configuration parameters for Amazon CloudWatch logging for a Kinesis Data Analytics Studio notebook.

For more information about CloudWatch logging, see Monitoring .

Parameters:: log_level (Optional[str]) – The verbosity of the CloudWatch Logs for an application. You can set it to INFO , WARN , ERROR , or DEBUG .
See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-zeppelinmonitoringconfiguration.html
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_kinesisanalyticsv2 import mixins as kinesisanalyticsv2_mixins

zeppelin_monitoring_configuration_property = kinesisanalyticsv2_mixins.CfnApplicationPropsMixin.ZeppelinMonitoringConfigurationProperty(
    log_level="logLevel"
)

Attributes

log_level

The verbosity of the CloudWatch Logs for an application.

You can set it to INFO , WARN , ERROR , or DEBUG .

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-zeppelinmonitoringconfiguration.html#cfn-kinesisanalyticsv2-application-zeppelinmonitoringconfiguration-loglevel